fuse-augmentations is an Apache-2.0 Python package that combines augmentation transforms into a single interpolation pass. It is intended for developers building efficient data-processing or machine-learning augmentation pipelines.
In the Frameworks & SDKs space, fuse-augmentations takes a focused approach. It focuses on reducing the overhead of applying multiple augmentation transforms separately. It is built as an open-source project for python developers and machine-learning engineers. The project is open source (Apache-2.0). It ships for the command line, and it can be self-hosted.
Borda builds and maintains fuse-augmentations, and it first shipped in 2026. Development happens publicly on GitHub with 109 commits in the last 90 days. Among its 3 catalogued features are transform fusion, single-pass interpolation, and augmentation pipelines.
Summary written by a language model from the project’s public pages.
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